Weiser, Barbara; Philpott, Sean; Klimkait, Thomas; Burger, Harold; Kitchen, Christina; Bürgisser, Philippe; Gorgievski, Meri; Perrin, Luc; Piffaretti, Jean-Claude; Ledergerber, Bruno (2008). HIV-1 coreceptor usage and CXCR4-specific viral load predict clinical disease progression during combination antiretroviral therapy. AIDS, 22(4), pp. 469-79. Hagerstown, Md.: Lippincott Williams & Wilkins 10.1097/QAD.0b013e3282f4196c
Full text not available from this repository.BACKGROUND: Although combination antiretroviral therapy (cART) dramatically reduces rates of AIDS and death, a minority of patients experience clinical disease progression during treatment. OBJECTIVE: To investigate whether detection of CXCR4(X4)-specific strains or quantification of X4-specific HIV-1 load predict clinical outcome. METHODS: From the Swiss HIV Cohort Study, 96 participants who initiated cART yet subsequently progressed to AIDS or death were compared with 84 contemporaneous, treated nonprogressors. A sensitive heteroduplex tracking assay was developed to quantify plasma X4 and CCR5 variants and resolve HIV-1 load into coreceptor-specific components. Measurements were analyzed as cofactors of progression in multivariable Cox models adjusted for concurrent CD4 cell count and total viral load, applying inverse probability weights to adjust for sampling bias. RESULTS: Patients with X4 variants at baseline displayed reduced CD4 cell responses compared with those without X4 strains (40 versus 82 cells/microl; P = 0.012). The adjusted multivariable hazard ratio (HR) for clinical progression was 4.8 [95% confidence interval (CI) 2.3-10.0] for those demonstrating X4 strains at baseline. The X4-specific HIV-1 load was a similarly independent predictor, with HR values of 3.7 (95% CI, 1.2-11.3) and 5.9 (95% CI, 2.2-15.0) for baseline loads of 2.2-4.3 and > 4.3 log10 copies/ml, respectively, compared with < 2.2 log10 copies/ml. CONCLUSIONS: HIV-1 coreceptor usage and X4-specific viral loads strongly predicted disease progression during cART, independent of and in addition to CD4 cell count or total viral load. Detection and quantification of X4 strains promise to be clinically useful biomarkers to guide patient management and study HIV-1 pathogenesis.
Item Type: |
Journal Article (Original Article) |
---|---|
Division/Institute: |
04 Faculty of Medicine > Service Sector > Institute for Infectious Diseases |
UniBE Contributor: |
Gorgievski, Meri |
ISSN: |
0269-9370 |
ISBN: |
18301059 |
Publisher: |
Lippincott Williams & Wilkins |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:56 |
Last Modified: |
05 Dec 2022 14:17 |
Publisher DOI: |
10.1097/QAD.0b013e3282f4196c |
PubMed ID: |
18301059 |
Web of Science ID: |
000254247200004 |
URI: |
https://boris.unibe.ch/id/eprint/23975 (FactScience: 45482) |